AI Infra Guard is an efficient, lightweight, and user-friendly AI infrastructure security assessment tool designed to discover and detect potential security risks in AI systems.
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Efficient Scanning* Supports 28 AI framework fingerprint identifications
- Covers 200+ security vulnerability databases
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Easy to Use
- Ready to use out of the box, no complex configuration
- Fingerprint and vulnerability YAML rule definitions
- Flexible matching syntax
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Lightweight
- Clean and efficient core components
- Small binary size, low resource usage
- Cross-platform support
Component Name | Vulnerability Count |
---|---|
anythingllm | 8 |
langchain | 21 |
Chuanhugpt | 0 |
comfy_mtb | 1 |
ComfyUI-Prompt-Preview | 1 |
ComfyUI-Custom-Scripts | 1 |
comfyui | 2 |
dify | 0 |
fastchat-webui | 0 |
fastchat | 0 |
feast | 0 |
gradio | 41 |
jupyterlab | 4 |
jupyter-notebook | 1 |
jupyter-server | 7 |
kubeflow | 4 |
kubepi | 5 |
llamafactory | 1 |
ollama | 5 |
open-webui | 1 |
pyload-ng | 18 |
qanything | 2 |
ragflow | 1 |
ray | 3 |
tensorboard | 0 |
vllm | 3 |
xinference | 0 |
Quick Usage
AI Analysis
Download from: https://github.com/Tencent/AI-Infra-Guard/releases
Single Target
./ai-infra-guard -target [IP/Domain]
Multiple Targets
./ai-infra-guard -target [IP/Domain] -target [IP/Domain]
Read from File
./ai-infra-guard -file target.txt
AI Analysis
./ai-infra-guard -target [IP/Domain] -ai -token [Hunyuan token]
AI Infra Guard is based on WEB fingerprint identification components. Fingerprint rules are in the data/fingerprints directory, and vulnerability matching rules are in the data/vuln directory.
info:
name: gradio
author: Security Team
severity: info
metadata:
product: gradio
vendor: gradio
http:
- method: GET
path: '/'
matchers:
- body="<script>window.gradio_config = {" || body="document.getElementsByTagName(\"gradio-app\");"
- Title
- Body
- Header
- Icon hash
=
Fuzzy match==
Exact match!=
Not equal~=
Regular expression match&&
AND||
OR()
Grouping
Community contributions are highly welcome! Feel free to submit PRs and Issues.
"AI Infra Guard" is licensed under the MIT License except for the third-party components. Visit License.txt
💡 Tip: Stay updated to protect your AI infrastructure security!